Ontology-Based Evaluation of Data in Industrial Plants

A computer-implemented method for training an encoder to create representations of semantic entities of an industrial plant in an embedding space, comprising:

• providing at least one semantic information model of the industrial plant, wherein each semantic entity in the at least one semantic information model carries a semantic meaning with respect to a structure, a construction, and/or a functioning of the industrial plant, and wherein the semantic information model comprises relationships between the semantic entities;
• transforming by the encoder records corresponding to entities of the semantic information model into representations in the embedding space;
• comparing the representations and rating using a predetermined loss function how well a result of the comparison corresponds to a similarity and/or relationship between respective entities according to the semantic information model;
• and
• optimizing parameters that characterize a behavior of the encoder for improving a rating by a loss function.